{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a9897dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7246d473",
   "metadata": {},
   "source": [
    "## 高中体测数据转换"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ba2892b",
   "metadata": {},
   "source": [
    "### 数据加载， pd.read_excel('./18级高一体测成绩汇总.xls')默认加载第一个工作表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "961b28b5",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>195.0</td>\n",
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       "      <td>2785</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3133</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3901</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4946</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>3538</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>0</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5'19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>7042</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>5755</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>5688</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别 男1000米跑  男50米跑    男跳远  男体前屈  男引体  男肺活量     身高    体重  BMI\n",
       "0     1  男    4'13   8.88  195.0    12    1  2785  170.0  72.6    0\n",
       "1     1  男    4'16   7.70  225.0    11    7  3133  174.0  52.7    0\n",
       "2     1  男    4'09   8.45  218.0    14    1  3901  169.0  46.5    0\n",
       "3     1  男    4'21   8.05  206.0    13    1  4946  183.0  79.7    0\n",
       "4     1  男    3'44   7.52  210.0    13    9  3538  171.0  54.7    0\n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...  ...\n",
       "472  17  男    4'23   8.27  208.0    10    0  4647  176.0  69.5    0\n",
       "473  17  男    5'19   9.55  210.0    15    6  7042  177.0  76.0    0\n",
       "474  17  男    3'25   7.50  252.0    13   13  5755  181.0  65.0    0\n",
       "475  17  男    4'39   7.81  208.0    14   11  5688  172.0  51.7    0\n",
       "476  17  男       0   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "\n",
       "[477 rows x 11 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male = pd.read_excel(r'C:/Users/LouisLou/Desktop/18级高一体测成绩汇总.xls')\n",
    "male"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "954e895f",
   "metadata": {},
   "source": [
    "### 数据加载， pd.read_excel('./18级高一体测成绩汇总.xls',sheet_name = 1)指定加载第二个工作表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2b03c9f2",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>9.32</td>\n",
       "      <td>185.0</td>\n",
       "      <td>16</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>11.44</td>\n",
       "      <td>148.0</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>3683</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>13.40</td>\n",
       "      <td>150.0</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>3331</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>9.52</td>\n",
       "      <td>172.0</td>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>3701</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>9.79</td>\n",
       "      <td>145.0</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>3592</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.51</td>\n",
       "      <td>9.60</td>\n",
       "      <td>150.0</td>\n",
       "      <td>24</td>\n",
       "      <td>41</td>\n",
       "      <td>2255</td>\n",
       "      <td>158.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.00</td>\n",
       "      <td>10.18</td>\n",
       "      <td>150.0</td>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>2937</td>\n",
       "      <td>161.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>10.18</td>\n",
       "      <td>152.0</td>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>2592</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.67</td>\n",
       "      <td>165.0</td>\n",
       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>1829</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>9.09</td>\n",
       "      <td>180.0</td>\n",
       "      <td>10</td>\n",
       "      <td>46</td>\n",
       "      <td>2962</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女50米跑    女跳远  女体前屈  女仰卧  女肺活量     身高    体重  BMI\n",
       "0     1  女    3.22   9.32  185.0    16   48  3775  163.0  51.3    0\n",
       "1     1  女    4.59  11.44  148.0     9   29  3683  163.0  66.6    0\n",
       "2     1  女    3.46  13.40  150.0     7   40  3331  157.0  60.0    0\n",
       "3     1  女    3.39   9.52  172.0    21   46  3701  160.0  50.7    0\n",
       "4     1  女    3.43   9.79  145.0     8   34  3592  167.0  63.9    0\n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...  ...\n",
       "588  17  女    3.51   9.60  150.0    24   41  2255  158.0  49.0    0\n",
       "589  17  女    4.00  10.18  150.0    13   36  2937  161.0  55.7    0\n",
       "590  17  女    3.45  10.18  152.0    15   35  2592  165.0  48.6    0\n",
       "591  17  女    4.01   9.67  165.0    10   41  1829  154.0  43.6    0\n",
       "592  17  女    4.48   9.09  180.0    10   46  2962  162.0  55.3    0\n",
       "\n",
       "[593 rows x 11 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female = pd.read_excel(r'C:/Users/LouisLou/Desktop/18级高一体测成绩汇总.xls',sheet_name=1)\n",
    "female"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "584b258a",
   "metadata": {},
   "source": [
    "### 评分标准加载，pd.read_excel('./体侧成绩评分表.xls',header = [0,1])，header=[0,1]表示多层列索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f03ed086",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th colspan=\"2\" halign=\"left\">女肺活量</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男50米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女50米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男体前屈</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女跳远</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男引体</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女仰卧</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男1000米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女800米跑</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
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       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
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       "      <th>分数</th>\n",
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       "      <th>分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4540</td>\n",
       "      <td>100</td>\n",
       "      <td>3150</td>\n",
       "      <td>100</td>\n",
       "      <td>7.1</td>\n",
       "      <td>100</td>\n",
       "      <td>7.8</td>\n",
       "      <td>100</td>\n",
       "      <td>23.6</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>204</td>\n",
       "      <td>100</td>\n",
       "      <td>16.0</td>\n",
       "      <td>100</td>\n",
       "      <td>53</td>\n",
       "      <td>100</td>\n",
       "      <td>3'30\"</td>\n",
       "      <td>100</td>\n",
       "      <td>3'24\"</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4420</td>\n",
       "      <td>95</td>\n",
       "      <td>3100</td>\n",
       "      <td>95</td>\n",
       "      <td>7.2</td>\n",
       "      <td>95</td>\n",
       "      <td>7.9</td>\n",
       "      <td>95</td>\n",
       "      <td>21.5</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>198</td>\n",
       "      <td>95</td>\n",
       "      <td>15.0</td>\n",
       "      <td>95</td>\n",
       "      <td>51</td>\n",
       "      <td>95</td>\n",
       "      <td>3'35\"</td>\n",
       "      <td>95</td>\n",
       "      <td>3'30\"</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4300</td>\n",
       "      <td>90</td>\n",
       "      <td>3050</td>\n",
       "      <td>90</td>\n",
       "      <td>7.3</td>\n",
       "      <td>90</td>\n",
       "      <td>8.0</td>\n",
       "      <td>90</td>\n",
       "      <td>19.4</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>192</td>\n",
       "      <td>90</td>\n",
       "      <td>14.0</td>\n",
       "      <td>90</td>\n",
       "      <td>49</td>\n",
       "      <td>90</td>\n",
       "      <td>3'40\"</td>\n",
       "      <td>90</td>\n",
       "      <td>3'36\"</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4050</td>\n",
       "      <td>85</td>\n",
       "      <td>2900</td>\n",
       "      <td>85</td>\n",
       "      <td>7.4</td>\n",
       "      <td>85</td>\n",
       "      <td>8.3</td>\n",
       "      <td>85</td>\n",
       "      <td>17.2</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>13.0</td>\n",
       "      <td>85</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3'47\"</td>\n",
       "      <td>85</td>\n",
       "      <td>3'43\"</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3800</td>\n",
       "      <td>80</td>\n",
       "      <td>2750</td>\n",
       "      <td>80</td>\n",
       "      <td>7.5</td>\n",
       "      <td>80</td>\n",
       "      <td>8.6</td>\n",
       "      <td>80</td>\n",
       "      <td>15.0</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>178</td>\n",
       "      <td>80</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>43</td>\n",
       "      <td>80</td>\n",
       "      <td>3'55\"</td>\n",
       "      <td>80</td>\n",
       "      <td>3'50\"</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3680</td>\n",
       "      <td>78</td>\n",
       "      <td>2650</td>\n",
       "      <td>78</td>\n",
       "      <td>7.7</td>\n",
       "      <td>78</td>\n",
       "      <td>8.8</td>\n",
       "      <td>78</td>\n",
       "      <td>13.6</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>175</td>\n",
       "      <td>78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>4'00\"</td>\n",
       "      <td>78</td>\n",
       "      <td>3'55\"</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3560</td>\n",
       "      <td>76</td>\n",
       "      <td>2550</td>\n",
       "      <td>76</td>\n",
       "      <td>7.9</td>\n",
       "      <td>76</td>\n",
       "      <td>9.0</td>\n",
       "      <td>76</td>\n",
       "      <td>12.2</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>11.0</td>\n",
       "      <td>76</td>\n",
       "      <td>39</td>\n",
       "      <td>76</td>\n",
       "      <td>4'05\"</td>\n",
       "      <td>76</td>\n",
       "      <td>4'00\"</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3440</td>\n",
       "      <td>74</td>\n",
       "      <td>2450</td>\n",
       "      <td>74</td>\n",
       "      <td>8.1</td>\n",
       "      <td>74</td>\n",
       "      <td>9.2</td>\n",
       "      <td>74</td>\n",
       "      <td>10.8</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>169</td>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74</td>\n",
       "      <td>37</td>\n",
       "      <td>74</td>\n",
       "      <td>4'10\"</td>\n",
       "      <td>74</td>\n",
       "      <td>4'05\"</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3320</td>\n",
       "      <td>72</td>\n",
       "      <td>2350</td>\n",
       "      <td>72</td>\n",
       "      <td>8.3</td>\n",
       "      <td>72</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>166</td>\n",
       "      <td>72</td>\n",
       "      <td>10.0</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>4'15\"</td>\n",
       "      <td>72</td>\n",
       "      <td>4'10\"</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3200</td>\n",
       "      <td>70</td>\n",
       "      <td>2250</td>\n",
       "      <td>70</td>\n",
       "      <td>8.5</td>\n",
       "      <td>70</td>\n",
       "      <td>9.6</td>\n",
       "      <td>70</td>\n",
       "      <td>8.0</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>163</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>33</td>\n",
       "      <td>70</td>\n",
       "      <td>4'20\"</td>\n",
       "      <td>70</td>\n",
       "      <td>4'15\"</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3080</td>\n",
       "      <td>68</td>\n",
       "      <td>2150</td>\n",
       "      <td>68</td>\n",
       "      <td>8.7</td>\n",
       "      <td>68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>68</td>\n",
       "      <td>6.6</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>160</td>\n",
       "      <td>68</td>\n",
       "      <td>9.0</td>\n",
       "      <td>68</td>\n",
       "      <td>31</td>\n",
       "      <td>68</td>\n",
       "      <td>4'25\"</td>\n",
       "      <td>68</td>\n",
       "      <td>4'20\"</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2960</td>\n",
       "      <td>66</td>\n",
       "      <td>2050</td>\n",
       "      <td>66</td>\n",
       "      <td>8.9</td>\n",
       "      <td>66</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66</td>\n",
       "      <td>5.2</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>157</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>4'30\"</td>\n",
       "      <td>66</td>\n",
       "      <td>4'25\"</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2840</td>\n",
       "      <td>64</td>\n",
       "      <td>1950</td>\n",
       "      <td>64</td>\n",
       "      <td>9.1</td>\n",
       "      <td>64</td>\n",
       "      <td>10.2</td>\n",
       "      <td>64</td>\n",
       "      <td>3.8</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>154</td>\n",
       "      <td>64</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64</td>\n",
       "      <td>27</td>\n",
       "      <td>64</td>\n",
       "      <td>4'35\"</td>\n",
       "      <td>64</td>\n",
       "      <td>4'30\"</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2720</td>\n",
       "      <td>62</td>\n",
       "      <td>1850</td>\n",
       "      <td>62</td>\n",
       "      <td>9.3</td>\n",
       "      <td>62</td>\n",
       "      <td>10.4</td>\n",
       "      <td>62</td>\n",
       "      <td>2.4</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>151</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62</td>\n",
       "      <td>25</td>\n",
       "      <td>62</td>\n",
       "      <td>4'40\"</td>\n",
       "      <td>62</td>\n",
       "      <td>4'35\"</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2600</td>\n",
       "      <td>60</td>\n",
       "      <td>1750</td>\n",
       "      <td>60</td>\n",
       "      <td>9.5</td>\n",
       "      <td>60</td>\n",
       "      <td>10.6</td>\n",
       "      <td>60</td>\n",
       "      <td>1.0</td>\n",
       "      <td>60</td>\n",
       "      <td>...</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60</td>\n",
       "      <td>23</td>\n",
       "      <td>60</td>\n",
       "      <td>4'45\"</td>\n",
       "      <td>60</td>\n",
       "      <td>4'40\"</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2470</td>\n",
       "      <td>50</td>\n",
       "      <td>1710</td>\n",
       "      <td>50</td>\n",
       "      <td>9.7</td>\n",
       "      <td>50</td>\n",
       "      <td>10.8</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>143</td>\n",
       "      <td>50</td>\n",
       "      <td>6.0</td>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>50</td>\n",
       "      <td>5'05\"</td>\n",
       "      <td>50</td>\n",
       "      <td>4'50\"</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2340</td>\n",
       "      <td>40</td>\n",
       "      <td>1670</td>\n",
       "      <td>40</td>\n",
       "      <td>9.9</td>\n",
       "      <td>40</td>\n",
       "      <td>11.0</td>\n",
       "      <td>40</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>138</td>\n",
       "      <td>40</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>5'25\"</td>\n",
       "      <td>40</td>\n",
       "      <td>5'00\"</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2210</td>\n",
       "      <td>30</td>\n",
       "      <td>1630</td>\n",
       "      <td>30</td>\n",
       "      <td>10.1</td>\n",
       "      <td>30</td>\n",
       "      <td>11.2</td>\n",
       "      <td>30</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>133</td>\n",
       "      <td>30</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>30</td>\n",
       "      <td>5'45\"</td>\n",
       "      <td>30</td>\n",
       "      <td>5'10\"</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2080</td>\n",
       "      <td>20</td>\n",
       "      <td>1590</td>\n",
       "      <td>20</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>11.4</td>\n",
       "      <td>20</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>128</td>\n",
       "      <td>20</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>6'05\"</td>\n",
       "      <td>20</td>\n",
       "      <td>5'20\"</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1950</td>\n",
       "      <td>10</td>\n",
       "      <td>1550</td>\n",
       "      <td>10</td>\n",
       "      <td>10.5</td>\n",
       "      <td>10</td>\n",
       "      <td>11.6</td>\n",
       "      <td>10</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>123</td>\n",
       "      <td>10</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>6'25\"</td>\n",
       "      <td>10</td>\n",
       "      <td>5'30\"</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    男肺活量       女肺活量      男50米跑      女50米跑       男体前屈       ...  女跳远       \\\n",
       "      成绩   分数    成绩   分数    成绩   分数    成绩   分数    成绩   分数  ...   成绩   分数   \n",
       "0   4540  100  3150  100   7.1  100   7.8  100  23.6  100  ...  204  100   \n",
       "1   4420   95  3100   95   7.2   95   7.9   95  21.5   95  ...  198   95   \n",
       "2   4300   90  3050   90   7.3   90   8.0   90  19.4   90  ...  192   90   \n",
       "3   4050   85  2900   85   7.4   85   8.3   85  17.2   85  ...  185   85   \n",
       "4   3800   80  2750   80   7.5   80   8.6   80  15.0   80  ...  178   80   \n",
       "5   3680   78  2650   78   7.7   78   8.8   78  13.6   78  ...  175   78   \n",
       "6   3560   76  2550   76   7.9   76   9.0   76  12.2   76  ...  172   76   \n",
       "7   3440   74  2450   74   8.1   74   9.2   74  10.8   74  ...  169   74   \n",
       "8   3320   72  2350   72   8.3   72   9.4   72   9.4   72  ...  166   72   \n",
       "9   3200   70  2250   70   8.5   70   9.6   70   8.0   70  ...  163   70   \n",
       "10  3080   68  2150   68   8.7   68   9.8   68   6.6   68  ...  160   68   \n",
       "11  2960   66  2050   66   8.9   66  10.0   66   5.2   66  ...  157   66   \n",
       "12  2840   64  1950   64   9.1   64  10.2   64   3.8   64  ...  154   64   \n",
       "13  2720   62  1850   62   9.3   62  10.4   62   2.4   62  ...  151   62   \n",
       "14  2600   60  1750   60   9.5   60  10.6   60   1.0   60  ...  148   60   \n",
       "15  2470   50  1710   50   9.7   50  10.8   50   0.0   50  ...  143   50   \n",
       "16  2340   40  1670   40   9.9   40  11.0   40  -1.0   40  ...  138   40   \n",
       "17  2210   30  1630   30  10.1   30  11.2   30  -2.0   30  ...  133   30   \n",
       "18  2080   20  1590   20  10.3   20  11.4   20  -3.0   20  ...  128   20   \n",
       "19  1950   10  1550   10  10.5   10  11.6   10  -4.0   10  ...  123   10   \n",
       "\n",
       "     男引体      女仰卧      男1000米跑      女800米跑       \n",
       "      成绩   分数  成绩   分数      成绩   分数     成绩   分数  \n",
       "0   16.0  100  53  100   3'30\"  100  3'24\"  100  \n",
       "1   15.0   95  51   95   3'35\"   95  3'30\"   95  \n",
       "2   14.0   90  49   90   3'40\"   90  3'36\"   90  \n",
       "3   13.0   85  46   85   3'47\"   85  3'43\"   85  \n",
       "4   12.0   80  43   80   3'55\"   80  3'50\"   80  \n",
       "5    NaN   78  41   78   4'00\"   78  3'55\"   78  \n",
       "6   11.0   76  39   76   4'05\"   76  4'00\"   76  \n",
       "7    NaN   74  37   74   4'10\"   74  4'05\"   74  \n",
       "8   10.0   72  35   72   4'15\"   72  4'10\"   72  \n",
       "9    NaN   70  33   70   4'20\"   70  4'15\"   70  \n",
       "10   9.0   68  31   68   4'25\"   68  4'20\"   68  \n",
       "11   NaN   66  29   66   4'30\"   66  4'25\"   66  \n",
       "12   8.0   64  27   64   4'35\"   64  4'30\"   64  \n",
       "13   NaN   62  25   62   4'40\"   62  4'35\"   62  \n",
       "14   7.0   60  23   60   4'45\"   60  4'40\"   60  \n",
       "15   6.0   50  21   50   5'05\"   50  4'50\"   50  \n",
       "16   5.0   40  19   40   5'25\"   40  5'00\"   40  \n",
       "17   4.0   30  17   30   5'45\"   30  5'10\"   30  \n",
       "18   3.0   20  15   20   6'05\"   20  5'20\"   20  \n",
       "19   2.0   10  13   10   6'25\"   10  5'30\"   10  \n",
       "\n",
       "[20 rows x 24 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_standard = pd.read_excel(r'C:/Users/LouisLou/Desktop/体侧成绩评分表.xls',header = [0,1])\n",
    "score_standard"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fce30f4",
   "metadata": {},
   "source": [
    "### 数据类型转换"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ce55d22",
   "metadata": {},
   "source": [
    "#### 男1000米跑，数据类型是str，并且是4’26这种形式，需要变成float类型的值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "84bc756a",
   "metadata": {},
   "outputs": [],
   "source": [
    "male['男1000米跑'] = male['男1000米跑'].str.replace(\"'\",\".\").fillna(value=0).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "eb42b60f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>195.0</td>\n",
       "      <td>12</td>\n",
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       "      <td>2785</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3133</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3901</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4946</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>3538</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>7042</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>5755</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>5688</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男50米跑    男跳远  男体前屈  男引体  男肺活量     身高    体重  BMI\n",
       "0     1  男     4.13   8.88  195.0    12    1  2785  170.0  72.6    0\n",
       "1     1  男     4.16   7.70  225.0    11    7  3133  174.0  52.7    0\n",
       "2     1  男     4.09   8.45  218.0    14    1  3901  169.0  46.5    0\n",
       "3     1  男     4.21   8.05  206.0    13    1  4946  183.0  79.7    0\n",
       "4     1  男     3.44   7.52  210.0    13    9  3538  171.0  54.7    0\n",
       "..   .. ..      ...    ...    ...   ...  ...   ...    ...   ...  ...\n",
       "472  17  男     4.23   8.27  208.0    10    0  4647  176.0  69.5    0\n",
       "473  17  男     5.19   9.55  210.0    15    6  7042  177.0  76.0    0\n",
       "474  17  男     3.25   7.50  252.0    13   13  5755  181.0  65.0    0\n",
       "475  17  男     4.39   7.81  208.0    14   11  5688  172.0  51.7    0\n",
       "476  17  男     0.00   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "\n",
       "[477 rows x 11 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f7fc70b",
   "metadata": {},
   "source": [
    "#### 评分标准中男1000米跑和女800米跑的成绩都是4‘10’‘这种形式，需要转化为float类型值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "515af275",
   "metadata": {},
   "outputs": [],
   "source": [
    "score_standard.replace(\"'\",'.',regex=True,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6e043beb",
   "metadata": {},
   "outputs": [],
   "source": [
    "score_standard.replace('\"','',regex=True,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "18b0c18a",
   "metadata": {},
   "outputs": [],
   "source": [
    "score_standard = score_standard.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "5136c78e",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">男肺活量</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女肺活量</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男50米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女50米跑</th>\n",
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       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女跳远</th>\n",
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       "      <th></th>\n",
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       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
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       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4540.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3150.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>23.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>204.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3.30</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3.24</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4420.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>3100.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>95.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>95.0</td>\n",
       "      <td>21.5</td>\n",
       "      <td>95.0</td>\n",
       "      <td>...</td>\n",
       "      <td>198.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>3.35</td>\n",
       "      <td>95.0</td>\n",
       "      <td>3.30</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4300.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3050.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>90.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>19.4</td>\n",
       "      <td>90.0</td>\n",
       "      <td>...</td>\n",
       "      <td>192.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3.36</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4050.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2900.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>85.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>85.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>85.0</td>\n",
       "      <td>...</td>\n",
       "      <td>185.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>3.47</td>\n",
       "      <td>85.0</td>\n",
       "      <td>3.43</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3800.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2750.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>80.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>...</td>\n",
       "      <td>178.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>3.55</td>\n",
       "      <td>80.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3680.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2650.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>78.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>78.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>78.0</td>\n",
       "      <td>...</td>\n",
       "      <td>175.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>78.0</td>\n",
       "      <td>3.55</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3560.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>2550.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>76.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>12.2</td>\n",
       "      <td>76.0</td>\n",
       "      <td>...</td>\n",
       "      <td>172.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>4.05</td>\n",
       "      <td>76.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3440.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>2450.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>74.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>74.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>74.0</td>\n",
       "      <td>...</td>\n",
       "      <td>169.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>4.10</td>\n",
       "      <td>74.0</td>\n",
       "      <td>4.05</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3320.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>2350.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>72.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>4.15</td>\n",
       "      <td>72.0</td>\n",
       "      <td>4.10</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3200.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2250.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>...</td>\n",
       "      <td>163.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>4.20</td>\n",
       "      <td>70.0</td>\n",
       "      <td>4.15</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3080.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2150.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>68.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>68.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>68.0</td>\n",
       "      <td>...</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4.25</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4.20</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2960.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>2050.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>66.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>66.0</td>\n",
       "      <td>...</td>\n",
       "      <td>157.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.30</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.25</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2840.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>64.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>64.0</td>\n",
       "      <td>...</td>\n",
       "      <td>154.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.30</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2720.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>9.3</td>\n",
       "      <td>62.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>62.0</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4.40</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2600.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1750.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>60.0</td>\n",
       "      <td>10.6</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.45</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.40</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2470.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>143.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.05</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4.50</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2340.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1670.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>9.9</td>\n",
       "      <td>40.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>...</td>\n",
       "      <td>138.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.25</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2210.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1630.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>10.1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>...</td>\n",
       "      <td>133.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.45</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.10</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2080.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1590.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>128.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.05</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.20</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1950.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>123.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.25</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.30</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      男肺活量           女肺活量        男50米跑        女50米跑         男体前屈         ...  \\\n",
       "        成绩     分数      成绩     分数    成绩     分数    成绩     分数    成绩     分数  ...   \n",
       "0   4540.0  100.0  3150.0  100.0   7.1  100.0   7.8  100.0  23.6  100.0  ...   \n",
       "1   4420.0   95.0  3100.0   95.0   7.2   95.0   7.9   95.0  21.5   95.0  ...   \n",
       "2   4300.0   90.0  3050.0   90.0   7.3   90.0   8.0   90.0  19.4   90.0  ...   \n",
       "3   4050.0   85.0  2900.0   85.0   7.4   85.0   8.3   85.0  17.2   85.0  ...   \n",
       "4   3800.0   80.0  2750.0   80.0   7.5   80.0   8.6   80.0  15.0   80.0  ...   \n",
       "5   3680.0   78.0  2650.0   78.0   7.7   78.0   8.8   78.0  13.6   78.0  ...   \n",
       "6   3560.0   76.0  2550.0   76.0   7.9   76.0   9.0   76.0  12.2   76.0  ...   \n",
       "7   3440.0   74.0  2450.0   74.0   8.1   74.0   9.2   74.0  10.8   74.0  ...   \n",
       "8   3320.0   72.0  2350.0   72.0   8.3   72.0   9.4   72.0   9.4   72.0  ...   \n",
       "9   3200.0   70.0  2250.0   70.0   8.5   70.0   9.6   70.0   8.0   70.0  ...   \n",
       "10  3080.0   68.0  2150.0   68.0   8.7   68.0   9.8   68.0   6.6   68.0  ...   \n",
       "11  2960.0   66.0  2050.0   66.0   8.9   66.0  10.0   66.0   5.2   66.0  ...   \n",
       "12  2840.0   64.0  1950.0   64.0   9.1   64.0  10.2   64.0   3.8   64.0  ...   \n",
       "13  2720.0   62.0  1850.0   62.0   9.3   62.0  10.4   62.0   2.4   62.0  ...   \n",
       "14  2600.0   60.0  1750.0   60.0   9.5   60.0  10.6   60.0   1.0   60.0  ...   \n",
       "15  2470.0   50.0  1710.0   50.0   9.7   50.0  10.8   50.0   0.0   50.0  ...   \n",
       "16  2340.0   40.0  1670.0   40.0   9.9   40.0  11.0   40.0  -1.0   40.0  ...   \n",
       "17  2210.0   30.0  1630.0   30.0  10.1   30.0  11.2   30.0  -2.0   30.0  ...   \n",
       "18  2080.0   20.0  1590.0   20.0  10.3   20.0  11.4   20.0  -3.0   20.0  ...   \n",
       "19  1950.0   10.0  1550.0   10.0  10.5   10.0  11.6   10.0  -4.0   10.0  ...   \n",
       "\n",
       "      女跳远          男引体          女仰卧        男1000米跑        女800米跑         \n",
       "       成绩     分数    成绩     分数    成绩     分数      成绩     分数     成绩     分数  \n",
       "0   204.0  100.0  16.0  100.0  53.0  100.0    3.30  100.0   3.24  100.0  \n",
       "1   198.0   95.0  15.0   95.0  51.0   95.0    3.35   95.0   3.30   95.0  \n",
       "2   192.0   90.0  14.0   90.0  49.0   90.0    3.40   90.0   3.36   90.0  \n",
       "3   185.0   85.0  13.0   85.0  46.0   85.0    3.47   85.0   3.43   85.0  \n",
       "4   178.0   80.0  12.0   80.0  43.0   80.0    3.55   80.0   3.50   80.0  \n",
       "5   175.0   78.0   NaN   78.0  41.0   78.0    4.00   78.0   3.55   78.0  \n",
       "6   172.0   76.0  11.0   76.0  39.0   76.0    4.05   76.0   4.00   76.0  \n",
       "7   169.0   74.0   NaN   74.0  37.0   74.0    4.10   74.0   4.05   74.0  \n",
       "8   166.0   72.0  10.0   72.0  35.0   72.0    4.15   72.0   4.10   72.0  \n",
       "9   163.0   70.0   NaN   70.0  33.0   70.0    4.20   70.0   4.15   70.0  \n",
       "10  160.0   68.0   9.0   68.0  31.0   68.0    4.25   68.0   4.20   68.0  \n",
       "11  157.0   66.0   NaN   66.0  29.0   66.0    4.30   66.0   4.25   66.0  \n",
       "12  154.0   64.0   8.0   64.0  27.0   64.0    4.35   64.0   4.30   64.0  \n",
       "13  151.0   62.0   NaN   62.0  25.0   62.0    4.40   62.0   4.35   62.0  \n",
       "14  148.0   60.0   7.0   60.0  23.0   60.0    4.45   60.0   4.40   60.0  \n",
       "15  143.0   50.0   6.0   50.0  21.0   50.0    5.05   50.0   4.50   50.0  \n",
       "16  138.0   40.0   5.0   40.0  19.0   40.0    5.25   40.0   5.00   40.0  \n",
       "17  133.0   30.0   4.0   30.0  17.0   30.0    5.45   30.0   5.10   30.0  \n",
       "18  128.0   20.0   3.0   20.0  15.0   20.0    6.05   20.0   5.20   20.0  \n",
       "19  123.0   10.0   2.0   10.0  13.0   10.0    6.25   10.0   5.30   10.0  \n",
       "\n",
       "[20 rows x 24 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_standard"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3719d3e",
   "metadata": {},
   "source": [
    "#### 其他所有数值类型的值，都要转换为float类型的值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "32de706f",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "班级           int64\n",
       "性别          object\n",
       "男1000米跑    float64\n",
       "男50米跑      float64\n",
       "男跳远        float64\n",
       "男体前屈         int64\n",
       "男引体          int64\n",
       "男肺活量         int64\n",
       "身高         float64\n",
       "体重         float64\n",
       "BMI          int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "011e7e7c",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "班级          int64\n",
       "性别         object\n",
       "女800米跑    float64\n",
       "女50米跑     float64\n",
       "女跳远       float64\n",
       "女体前屈        int64\n",
       "女仰卧         int64\n",
       "女肺活量        int64\n",
       "身高        float64\n",
       "体重        float64\n",
       "BMI         int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8747e409",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "男肺活量     成绩    float64\n",
       "         分数    float64\n",
       "女肺活量     成绩    float64\n",
       "         分数    float64\n",
       "男50米跑    成绩    float64\n",
       "         分数    float64\n",
       "女50米跑    成绩    float64\n",
       "         分数    float64\n",
       "男体前屈     成绩    float64\n",
       "         分数    float64\n",
       "女体前屈     成绩    float64\n",
       "         分数    float64\n",
       "男跳远      成绩    float64\n",
       "         分数    float64\n",
       "女跳远      成绩    float64\n",
       "         分数    float64\n",
       "男引体      成绩    float64\n",
       "         分数    float64\n",
       "女仰卧      成绩    float64\n",
       "         分数    float64\n",
       "男1000米跑  成绩    float64\n",
       "         分数    float64\n",
       "女800米跑   成绩    float64\n",
       "         分数    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_standard.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5736b2d",
   "metadata": {},
   "source": [
    "### 对体测成绩进行分数转换，跑步类（越小越好）；跳远、体前屈（越大越好）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "a575e941",
   "metadata": {},
   "outputs": [],
   "source": [
    "#男生1000米、50米跑成绩\n",
    "for col in ['男1000米跑','男50米跑']:\n",
    "    score = score_standard[col]\n",
    "    def convert(x):\n",
    "        for i in range(len(score)):\n",
    "            if x <= score['成绩'].iloc[0]:\n",
    "                if x == 0:\n",
    "                    return 0\n",
    "                else:\n",
    "                    return score['分数'].iloc[0]\n",
    "            elif x > score['成绩'].iloc[-1]:\n",
    "                return 0\n",
    "            elif (x > score['成绩'].iloc[i-1]) & (x <= score['成绩'].iloc[i]):\n",
    "                return score['分数'].iloc[i]\n",
    "\n",
    "    male[col+'分数'] = male[col].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "13b2043c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#男生其他成绩\n",
    "for col in ['男跳远','男体前屈','男引体','男肺活量']:\n",
    "    score = score_standard[col]\n",
    "    def convert(x):\n",
    "        for i in range(len(score)):\n",
    "            if x >= score['成绩'].iloc[i]:\n",
    "                return score['分数'].iloc[i]\n",
    "        return 0\n",
    "            \n",
    "    male[col+'分数'] = male[col].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "599b7388",
   "metadata": {},
   "outputs": [],
   "source": [
    "#BMI计算（体质指数（BMI）计算公式=体重（千克）除以身高（平方米））\n",
    "male['BMI'] = round(male['体重']/(male['身高']/100)**2,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "cb314ca9",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2785</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>25.12</td>\n",
       "      <td>72.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3133</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>17.41</td>\n",
       "      <td>70.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3901</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>16.28</td>\n",
       "      <td>74.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4946</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>23.80</td>\n",
       "      <td>68.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>3538</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>18.71</td>\n",
       "      <td>85.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>72.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>22.44</td>\n",
       "      <td>68.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>50.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>7042</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>24.26</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>80.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>5755</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>19.84</td>\n",
       "      <td>100.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>76.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>5688</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>17.48</td>\n",
       "      <td>62.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男50米跑  男50米跑分数    男跳远  男体前屈  男引体  男肺活量     身高    体重  \\\n",
       "0     1  男     4.13   8.88     66.0  195.0    12    1  2785  170.0  72.6   \n",
       "1     1  男     4.16   7.70     78.0  225.0    11    7  3133  174.0  52.7   \n",
       "2     1  男     4.09   8.45     70.0  218.0    14    1  3901  169.0  46.5   \n",
       "3     1  男     4.21   8.05     74.0  206.0    13    1  4946  183.0  79.7   \n",
       "4     1  男     3.44   7.52     78.0  210.0    13    9  3538  171.0  54.7   \n",
       "..   .. ..      ...    ...      ...    ...   ...  ...   ...    ...   ...   \n",
       "472  17  男     4.23   8.27     72.0  208.0    10    0  4647  176.0  69.5   \n",
       "473  17  男     5.19   9.55     50.0  210.0    15    6  7042  177.0  76.0   \n",
       "474  17  男     3.25   7.50     80.0  252.0    13   13  5755  181.0  65.0   \n",
       "475  17  男     4.39   7.81     76.0  208.0    14   11  5688  172.0  51.7   \n",
       "476  17  男     0.00   0.00      0.0    0.0     0    0     0    0.0   0.0   \n",
       "\n",
       "       BMI  男1000米跑分数  男跳远分数  男体前屈分数  男引体分数  男肺活量分数  \n",
       "0    25.12       72.0   60.0    74.0    0.0    62.0  \n",
       "1    17.41       70.0   74.0    74.0   60.0    68.0  \n",
       "2    16.28       74.0   70.0    78.0    0.0    80.0  \n",
       "3    23.80       68.0   64.0    76.0    0.0   100.0  \n",
       "4    18.71       85.0   66.0    76.0   68.0    74.0  \n",
       "..     ...        ...    ...     ...    ...     ...  \n",
       "472  22.44       68.0   66.0    72.0    0.0   100.0  \n",
       "473  24.26       40.0   66.0    80.0   50.0   100.0  \n",
       "474  19.84      100.0   90.0    76.0   85.0   100.0  \n",
       "475  17.48       62.0   66.0    78.0   76.0   100.0  \n",
       "476    NaN        0.0    0.0    50.0    0.0     0.0  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "16ced725",
   "metadata": {},
   "outputs": [],
   "source": [
    "#女生800米、50米跑成绩\n",
    "for col in ['女800米跑','女50米跑']:\n",
    "    score = score_standard[col]\n",
    "    def convert(x):\n",
    "        for i in range(len(score)):\n",
    "            if x <= score['成绩'].iloc[0]:\n",
    "                if x == 0:\n",
    "                    return 0\n",
    "                else:\n",
    "                    return score['分数'].iloc[0]\n",
    "            elif x > score['成绩'].iloc[-1]:\n",
    "                return 0\n",
    "            elif (x > score['成绩'].iloc[i-1]) & (x <= score['成绩'].iloc[i]):\n",
    "                return score['分数'].iloc[i]\n",
    "\n",
    "    female[col+'分数'] = female[col].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "1298c7a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#女生其他成绩\n",
    "for col in ['女跳远','女体前屈','女仰卧','女肺活量']:\n",
    "    score = score_standard[col]\n",
    "    def convert(x):\n",
    "        for i in range(len(score)):\n",
    "            if x >= score['成绩'].iloc[i]:\n",
    "                return score['分数'].iloc[i]\n",
    "        return 0\n",
    "    \n",
    "    female[col+'分数'] = female[col].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "8fcf4d5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#BMI计算（体质指数（BMI）计算公式=体重（千克）除以身高（平方米））\n",
    "female['BMI'] = round(female['体重']/(female['身高']/100)**2,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "fe62dcae",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女50米跑</th>\n",
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       "      <th>BMI</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>9.32</td>\n",
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       "      <td>16</td>\n",
       "      <td>48</td>\n",
       "      <td>3775</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>19.31</td>\n",
       "      <td>100.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>11.44</td>\n",
       "      <td>148.0</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>3683</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.6</td>\n",
       "      <td>25.07</td>\n",
       "      <td>40.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>13.40</td>\n",
       "      <td>150.0</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>3331</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>24.34</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>9.52</td>\n",
       "      <td>172.0</td>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>3701</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.7</td>\n",
       "      <td>19.80</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>9.79</td>\n",
       "      <td>145.0</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>3592</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>22.91</td>\n",
       "      <td>85.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.51</td>\n",
       "      <td>9.60</td>\n",
       "      <td>150.0</td>\n",
       "      <td>24</td>\n",
       "      <td>41</td>\n",
       "      <td>2255</td>\n",
       "      <td>158.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>19.63</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.00</td>\n",
       "      <td>10.18</td>\n",
       "      <td>150.0</td>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>2937</td>\n",
       "      <td>161.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>21.49</td>\n",
       "      <td>76.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>10.18</td>\n",
       "      <td>152.0</td>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>2592</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>17.85</td>\n",
       "      <td>80.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.67</td>\n",
       "      <td>165.0</td>\n",
       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>1829</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>18.38</td>\n",
       "      <td>74.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>9.09</td>\n",
       "      <td>180.0</td>\n",
       "      <td>10</td>\n",
       "      <td>46</td>\n",
       "      <td>2962</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.3</td>\n",
       "      <td>21.07</td>\n",
       "      <td>50.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女50米跑    女跳远  女体前屈  女仰卧  女肺活量     身高    体重    BMI  \\\n",
       "0     1  女    3.22   9.32  185.0    16   48  3775  163.0  51.3  19.31   \n",
       "1     1  女    4.59  11.44  148.0     9   29  3683  163.0  66.6  25.07   \n",
       "2     1  女    3.46  13.40  150.0     7   40  3331  157.0  60.0  24.34   \n",
       "3     1  女    3.39   9.52  172.0    21   46  3701  160.0  50.7  19.80   \n",
       "4     1  女    3.43   9.79  145.0     8   34  3592  167.0  63.9  22.91   \n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...    ...   \n",
       "588  17  女    3.51   9.60  150.0    24   41  2255  158.0  49.0  19.63   \n",
       "589  17  女    4.00  10.18  150.0    13   36  2937  161.0  55.7  21.49   \n",
       "590  17  女    3.45  10.18  152.0    15   35  2592  165.0  48.6  17.85   \n",
       "591  17  女    4.01   9.67  165.0    10   41  1829  154.0  43.6  18.38   \n",
       "592  17  女    4.48   9.09  180.0    10   46  2962  162.0  55.3  21.07   \n",
       "\n",
       "     女800米跑分数  女50米跑分数  女跳远分数  女体前屈分数  女仰卧分数  女肺活量分数  \n",
       "0       100.0     72.0   85.0    76.0   85.0   100.0  \n",
       "1        40.0     10.0   60.0    66.0   66.0   100.0  \n",
       "2        80.0      0.0   60.0    64.0   76.0   100.0  \n",
       "3        85.0     70.0   76.0    90.0   85.0   100.0  \n",
       "4        85.0     68.0   50.0    64.0   70.0   100.0  \n",
       "..        ...      ...    ...     ...    ...     ...  \n",
       "588      78.0     70.0   60.0    95.0   78.0    70.0  \n",
       "589      76.0     64.0   60.0    72.0   72.0    85.0  \n",
       "590      80.0     64.0   62.0    76.0   72.0    76.0  \n",
       "591      74.0     68.0   70.0    68.0   78.0    60.0  \n",
       "592      50.0     74.0   80.0    68.0   85.0    85.0  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "641a8361",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2785</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>25.12</td>\n",
       "      <td>72.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3133</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>17.41</td>\n",
       "      <td>70.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3901</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>16.28</td>\n",
       "      <td>74.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4946</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>23.80</td>\n",
       "      <td>68.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>3538</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>18.71</td>\n",
       "      <td>85.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>72.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>22.44</td>\n",
       "      <td>68.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>50.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>7042</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>24.26</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>80.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>5755</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>19.84</td>\n",
       "      <td>100.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>76.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>5688</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>17.48</td>\n",
       "      <td>62.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男50米跑  男50米跑分数    男跳远  男体前屈  男引体  男肺活量     身高    体重  \\\n",
       "0     1  男     4.13   8.88     66.0  195.0    12    1  2785  170.0  72.6   \n",
       "1     1  男     4.16   7.70     78.0  225.0    11    7  3133  174.0  52.7   \n",
       "2     1  男     4.09   8.45     70.0  218.0    14    1  3901  169.0  46.5   \n",
       "3     1  男     4.21   8.05     74.0  206.0    13    1  4946  183.0  79.7   \n",
       "4     1  男     3.44   7.52     78.0  210.0    13    9  3538  171.0  54.7   \n",
       "..   .. ..      ...    ...      ...    ...   ...  ...   ...    ...   ...   \n",
       "472  17  男     4.23   8.27     72.0  208.0    10    0  4647  176.0  69.5   \n",
       "473  17  男     5.19   9.55     50.0  210.0    15    6  7042  177.0  76.0   \n",
       "474  17  男     3.25   7.50     80.0  252.0    13   13  5755  181.0  65.0   \n",
       "475  17  男     4.39   7.81     76.0  208.0    14   11  5688  172.0  51.7   \n",
       "476  17  男     0.00   0.00      0.0    0.0     0    0     0    0.0   0.0   \n",
       "\n",
       "       BMI  男1000米跑分数  男跳远分数  男体前屈分数  男引体分数  男肺活量分数  \n",
       "0    25.12       72.0   60.0    74.0    0.0    62.0  \n",
       "1    17.41       70.0   74.0    74.0   60.0    68.0  \n",
       "2    16.28       74.0   70.0    78.0    0.0    80.0  \n",
       "3    23.80       68.0   64.0    76.0    0.0   100.0  \n",
       "4    18.71       85.0   66.0    76.0   68.0    74.0  \n",
       "..     ...        ...    ...     ...    ...     ...  \n",
       "472  22.44       68.0   66.0    72.0    0.0   100.0  \n",
       "473  24.26       40.0   66.0    80.0   50.0   100.0  \n",
       "474  19.84      100.0   90.0    76.0   85.0   100.0  \n",
       "475  17.48       62.0   66.0    78.0   76.0   100.0  \n",
       "476    NaN        0.0    0.0    50.0    0.0     0.0  \n",
       "\n",
       "[477 rows x 17 columns]"
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       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
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       "      <td>72.0</td>\n",
       "      <td>85.0</td>\n",
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       "      <td>4.59</td>\n",
       "      <td>11.44</td>\n",
       "      <td>148.0</td>\n",
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       "      <td>3683</td>\n",
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       "      <td>66.6</td>\n",
       "      <td>25.07</td>\n",
       "      <td>40.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>66.0</td>\n",
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       "      <td>24.34</td>\n",
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       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>9.52</td>\n",
       "      <td>172.0</td>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>3701</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.7</td>\n",
       "      <td>19.80</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>9.79</td>\n",
       "      <td>145.0</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>3592</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>22.91</td>\n",
       "      <td>85.0</td>\n",
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       "      <td>41</td>\n",
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       "      <td>49.0</td>\n",
       "      <td>19.63</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>78.0</td>\n",
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       "      <td>21.49</td>\n",
       "      <td>76.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>72.0</td>\n",
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       "      <td>35</td>\n",
       "      <td>2592</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>17.85</td>\n",
       "      <td>80.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>76.0</td>\n",
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       "      <th>591</th>\n",
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       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.67</td>\n",
       "      <td>165.0</td>\n",
       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>1829</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>18.38</td>\n",
       "      <td>74.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>60.0</td>\n",
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       "      <td>10</td>\n",
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       "      <td>162.0</td>\n",
       "      <td>55.3</td>\n",
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       "      <td>50.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
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      "text/plain": [
       "     班级 性别  女800米跑  女50米跑    女跳远  女体前屈  女仰卧  女肺活量     身高    体重    BMI  \\\n",
       "0     1  女    3.22   9.32  185.0    16   48  3775  163.0  51.3  19.31   \n",
       "1     1  女    4.59  11.44  148.0     9   29  3683  163.0  66.6  25.07   \n",
       "2     1  女    3.46  13.40  150.0     7   40  3331  157.0  60.0  24.34   \n",
       "3     1  女    3.39   9.52  172.0    21   46  3701  160.0  50.7  19.80   \n",
       "4     1  女    3.43   9.79  145.0     8   34  3592  167.0  63.9  22.91   \n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...    ...   \n",
       "588  17  女    3.51   9.60  150.0    24   41  2255  158.0  49.0  19.63   \n",
       "589  17  女    4.00  10.18  150.0    13   36  2937  161.0  55.7  21.49   \n",
       "590  17  女    3.45  10.18  152.0    15   35  2592  165.0  48.6  17.85   \n",
       "591  17  女    4.01   9.67  165.0    10   41  1829  154.0  43.6  18.38   \n",
       "592  17  女    4.48   9.09  180.0    10   46  2962  162.0  55.3  21.07   \n",
       "\n",
       "     女800米跑分数  女50米跑分数  女跳远分数  女体前屈分数  女仰卧分数  女肺活量分数  \n",
       "0       100.0     72.0   85.0    76.0   85.0   100.0  \n",
       "1        40.0     10.0   60.0    66.0   66.0   100.0  \n",
       "2        80.0      0.0   60.0    64.0   76.0   100.0  \n",
       "3        85.0     70.0   76.0    90.0   85.0   100.0  \n",
       "4        85.0     68.0   50.0    64.0   70.0   100.0  \n",
       "..        ...      ...    ...     ...    ...     ...  \n",
       "588      78.0     70.0   60.0    95.0   78.0    70.0  \n",
       "589      76.0     64.0   60.0    72.0   72.0    85.0  \n",
       "590      80.0     64.0   62.0    76.0   72.0    76.0  \n",
       "591      74.0     68.0   70.0    68.0   78.0    60.0  \n",
       "592      50.0     74.0   80.0    68.0   85.0    85.0  \n",
       "\n",
       "[593 rows x 17 columns]"
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  {
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   "id": "fdec6774",
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   "source": []
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